About
Simon Genin is a Researcher in the Faculty of Computer Science holding a Doctorate in Sciences, with documented involvement in academic research projects including Silverkit (2019-2022) focused on adaptive digital interfaces for elderly users.
Education
- Master in Computer Science, Professional focus in Data Science (2019), Faculty of Computer Science. Thesis: Deep Learning Applied to Code Analysis.
Research Interests
His work bridges artificial intelligence and human-centered computing, specializing in Deep Learning applications for software analysis and adaptive interaction systems for senior populations. Core competencies include code analysis automation, elderly-focused UX design, and self-adapting platform development, with emphasis on preserving digital accessibility for aging demographics through machine learning techniques.
Research Projects
- Silverkit (2019-2022): Served as Researcher under Principal Investigator Englebert V., with co-supervision by Vanhoof W. and Lobet-Maris C. This completed research project developed self-adaptive platforms to maintain interaction quality between seniors and digital tools, addressing age-related technology accessibility challenges.
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